This paper presents a new ontology that enables the knowledge-based analysis of complex networks. The purpose of our research was to develop a new approach for the knowledge-based analysis of complex networks based on various network attributes and metrics. Our approach is both easy to use and easy to understand by a human. It facilitates the automated classification of different types of networks. For the creation of this ontology we applied an already known methodology from the scientific literature. The ontology was also enriched with our own developed methods. We applied our ontology to the analysis scenarios of complex networks obtained from real world problems, thus supporting its generality, as well as its usability across domains.
CITATION STYLE
Becheru, A., & Bǎdicǎ, C. (2014). Complex networks’ analysis using an ontology-based approach: Initial steps. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8793, pp. 326–337). Springer Verlag. https://doi.org/10.1007/978-3-319-12096-6_29
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